An AI training platform for clinical communication: LLM-driven simulated patients stage difficult conversations, and social signal processing turns each rehearsal into interpretable feedback.
Interactive training systems for radiation oncology contouring: iContour, VRContour, and iConTutor deliver practice, immersive delineation, and automated feedback to residents.
Mixed reality for stroke care at a distance: holograms of a patient, or of their imaging, are placed in three-dimensional space and transmitted to a remote stroke neurologist.
Social signal processing for hidden bias in primary care: automated analysis of patient-provider communication, and feedback designed together with patients and doctors.
Surgical telementoring in mixed reality: a remote expert sees the novice's operating field in three dimensions and guides the procedure from anywhere.
A context-aware voice assistant for older adults, supporting everyday quality of life and connecting them to their healthcare.
A multimodal sensing approach to acute stroke assessment: body posture, facial droop, pupil tracking, and speech are combined into a per-patient signature of stroke-related deficits.
Real-time resuscitation guidance in mixed reality: visual and spatial cues sit on the patient, so a novice sees what to do where it has to be done.
Empirical research and practical guidance for the ethics of digital health research, spanning consent, privacy, and the terms under which data is collected.
Two do-it-yourself mask designs built during the COVID-19 shortage, with tested filtration performance and open instructions for making them.